DocumentCode :
264438
Title :
Skyline Travel Routes: Exploring Skyline for Trip Planning
Author :
Wan Ting Hsu ; Yu Ting Wen ; Ling Yin Wei ; Wen Chih Peng
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume :
2
fYear :
2014
fDate :
14-18 July 2014
Firstpage :
31
Lastpage :
36
Abstract :
In this paper, given a spatial range Q and a set of query points specified by users, the goal of this paper is to return the travel routes that fulfill two requirements: 1.) travel routes should contain all those query points specified, and 2.) travel routes should be within the spatial range Q. Furthermore, we claim that each query point may have its proper visiting time. As such, the travel routes should go through these query points at their corresponding proper visiting time. To avoid some redundant information in the travel routes, we utilize the skyline concept to retrieve travel routes with more diversity. Specifically, in our paper, we consider some factors, such as the visiting time information of POIs and the set of query points, in retrieving travel routes. These factors could be mapped into dimensional spaces. Then, each travel route is viewed as a data point in the dimensional space. Thus, skyline data points (referred to as skyline travel routes) are returned as the query result. Skyline travel routes could provide more diversity in the query result of trip route recommendations. To evaluate our proposed methods, we conducted extensive experiments on real datasets. The experimental results show that skyline travel routes indeed provide more diversity in the query result. In addition, we evaluate the efficiency of retrieving skyline travel routes.
Keywords :
data mining; planning; query processing; recommender systems; travel industry; POIs; dimensional space mapping; query points; skyline data points; skyline travel route retrieval; trajectory pattern mining; trip planning; trip route recommendations; visiting time information; Aggregates; Buildings; Databases; Global Positioning System; Planning; Space exploration; Trajectory; route skyline query; trajectory pattern mining; travel route planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Data Management (MDM), 2014 IEEE 15th International Conference on
Conference_Location :
Brisbane, QLD
Type :
conf
DOI :
10.1109/MDM.2014.64
Filename :
6916872
Link To Document :
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